Google Cloud Next '25 Tokyo: AI-driven data innovations

I always hear this about Industrial DataOps: "We can't get to scale." This is the barrier Litmus and Google Cloud are breaking. By pairing edge connectivity and contextualization (MC, MDE) with governed analytics and AI (BigQuery, Gemini models), we’re giving global enterprises a single, productized data foundation. This means faster time-to-value, less custom engineering, and repeatable AI success across 10, 50, or 100+ sites. Proud of the work our teams are doing to make industrial data truly AI-ready. Read press release here: https://hubs.li/Q03Pz6Kt0

Excited to see Google CEO Sundar Pichai's announcement today at the Google Cloud event—unveiling Gemini Enterprise, the new front door for AI in the workplace! Google This game-changing platform, powered by advanced Gemini models, seamlessly connects employees to company data, tools, and AI agents to supercharge productivity. And that stat? ~50% of Google's own code is now AI-generated and accepted by engineers—proof that GenAI is transforming how we build and innovate at scale. As a Solution Architect with deep roots in Google Cloud (Vertex AI, BigQuery, and GenAI pipelines), I'm thrilled to have delivered key components of the data orchestration layer for this project—leveraging Python microservices, LangChain integrations, and scalable ETL workflows to ensure seamless AI agent deployment across enterprise environments. It's been an honor collaborating with the Google Cloud team to make this vision a reality, enabling faster code gen, semantic analysis, and automation that drives real business impact. Can't wait to see how Gemini Enterprise empowers teams worldwide. Who's ready to level up their AI game? Let's connect if you're exploring GenAI for enterprise! #GeminiEnterprise #GoogleCloud #GenAI #AIinTheWorkplace #DataEngineering

The billion-dollar infrastructure deals powering the AI boom Here's everything we know about the biggest AI infrastructure projects, including major spending from Meta, Oracle, Microsoft, Google, and OpenAI. https://lnkd.in/eHydAFw9

The billion-dollar infrastructure deals powering the AI boom Here's everything we know about the biggest AI infrastructure projects, including major spending from Meta, Oracle, Microsoft, Google, and OpenAI. https://lnkd.in/dmQArR2n

Google just formalized the agentic era. 🤖 The 64-page Startup Technical Guide: AI Agents from Google Cloud isn’t just documentation — it’s a new engineering standard. I’ve read it cover to cover and highlighted 5 key ideas every AI agent developer should know: 1. Architecture built on Google ADK 2. Grounding + RAG as the foundation of trust 3. AgentOps instead of “let’s hope it works” 4. Infrastructure and tools as the agent’s body, not optional extras 5. Security and ethics — now mandatory, not optional 💡 This isn’t about chatbots anymore. It’s about mature, production-ready systems where AI becomes part of the infrastructure. Medium (en): https://lnkd.in/egSn5rsT Hashnode (en): https://lnkd.in/eDUu39ig Habr (ru): https://lnkd.in/ecXY5dfw I wrote about what stood out to me — and why this guide feels like a roadmap for the entire industry.

Data has always powered digital advertising — but the kind of data that matters is changing. As signals disappear across the web, the challenge isn’t collecting more data; it’s making smarter use of the ones that remain. In his conversation with Amazon Web Services (AWS), our SVP of Go to Market, Thomas Bernal, shares how Ogury One, built on AWS, combines diverse data signals and AI to create anonymized personas. With Amazon Bedrock, this process happens in seconds — giving advertisers faster, scalable, and privacy-safe results. 🎥 Watch the full story: https://lnkd.in/eH5ft9n4 #OguryOne #AWS #AI #DataInnovation #DigitalAdvertising #AdTech

🤖 6 Must-Read AI Automation Resources For mid-market teams, this gives a clear path to scale ops without enterprise bloat. • Automate routine back-office tasks and reduce manual errors • Get real-time visibility into cash flow and operations • Deploy AI-driven processes in weeks—not months 🚀 Fast. Focused. Scalable. 📊⚙️💡 • Datacenters.com — OpenAI's Strategic Partnership with Google Cloud (via https://lnkd.in/eVzGqMi2) • AICerts.ai — OpenAI Partners with Google Cloud to Scale AI Infrastructure (via https://lnkd.in/e5faFVHX) • Tech Monitor — OpenAI partners with Google Cloud in bid to reduce Microsoft ... (via https://lnkd.in/es7xjb94) • Azure Blog — OpenAI's open‑source model: gpt‑oss on Azure AI Foundry and ... (via https://lnkd.in/ej3gTjk6) • Google Cloud — Google Cloud Whitepapers (via https://lnkd.in/eZeWBr9i) • Financial Post — Google Cloud battles Microsoft, OpenAI for workplace AI (via https://lnkd.in/etyR3_dQ) According to a Microsoft whitepaper, Amazon, Google, and Microsoft invested over $23B in gen AI capex in 2023—and it’s still accelerating. At our agency, we guided a mid-market logistics client through automating payment workflows. Within 60 days, manual hours dropped by 70%, freeing up the finance team to focus on strategic planning. Which one would you add? #AIautomation #MidMarketInnovation #ProcessAutomation

We’re proud to partner with Google Cloud to bring hila Agentic AI Enterprise Analytics to Gemini Enterprise. Together, we’re helping enterprises leapfrog traditional BI systems with natural language analytics that are accurate, explainable, and fast. This collaboration makes it easier than ever for business users to access real insights from their data - simply by asking. Learn more: https://prn.to/48h5bp8 #googlecloud #googlecloudpartners #GeminiAtWork Kevin Ichhpurani

You don’t need a rocket ship to go to the grocery store. But that’s the approach so many business leaders take with GenAI. They assume that the bigger the model, the better the results. But that couldn’t be less true. I’ve seen businesses pour time and money into massive GenAI models, or what @EricMiller calls “super large language models” in this clip, only to discover that the ROI doesn’t justify the cost. They pay for more data storage and processing power than they could ever need for their business case, and end up using about 10% of the model they paid for. When you’re talking GenAI, bigger isn’t better. Relevant is better.  The key is aligning the right-sized technology to the right business challenge. That’s where projects start creating measurable value instead of runaway expenses. I had the pleasure of talking about this with our CTO Eric Miller and @BobLindquist from @AWS in a recent webinar about moving GenAI from POC to production.  Highly recommend watching for anyone thinking about taking the next steps toward GenAI on AWS.  You can catch the full conversation here 👉 https://lnkd.in/gkaShiad #GenAI #AWS #AI #LLM #Cloud

I'm constantly amazed by the innovative ways small and medium-sized businesses are leveraging generative AI to punch above their weight class. I recently spoke with a local bakery owner who's using AI to optimize her inventory and create personalized marketing campaigns—tasks that would have been out of reach for her small team just a year ago. It's clear that AI is no longer just for tech giants—it's a game-changer for businesses of all sizes. But how do we move from exciting proofs-of-concept to scalable, secure AI solutions that drive real business value? I had the opportunity to dive into this topic during an interview at AWS Summit New York City. We explored AWS's latest AI advancements, including AgentCore and Kiro, and discussed practical strategies for businesses to build robust AI agents that go beyond "vibe coding." If you're looking to unlock the power of AI for your business, whether you're a startup or an established SMB, check out this interview. We cover everything from data quality and scalability to cultural shifts and cost optimization. And let’s keep talking: How is your business approaching AI adoption? What challenges are you facing? #GenerativeAI #SmallBusiness #AWSInnovation #AIStrategy https://lnkd.in/dytSNbaG